- It also called for the preparation of short-term action plans to deal with acute problems and for more public information and health alerts.
- I förslaget begärde man också att kortsiktiga handlingsplaner skulle utarbetas i avsikt att ta itu med akuta problem, liksom mer information till allmänheten och hälsovarningar.
- It is true, the acute problem is getting people around the table and getting them to accept that international mediation is appropriate.
- Utan någon sådan formulering fruktar jag att det inte kommer att finnas möjlighet till någon definitiv fredlig lösning, men det akuta problemet är mycket riktigt att få folk till förhandlingsbordet och att få dem att acceptera att internationell medling är självskriven.
- It tries to focus solely on taking measures to ban the use of fishing gear throughout the Mediterranean, whereas it is common knowledge that the burden on this sea’s ecosystem is an extremely acute problem of marine pollution, as the result both of the careless use of pesticides and industrial pollution in general.
- Man försöker endast fokusera på att vidta åtgärder för att förbjuda användningen av fiskeredskap i hela Medelhavet, medan det är allmänt känt att belastningen på ekosystemet i detta hav är ett extremt akut problem, med havsföroreningar som är ett resultat av både vårdslös användning av bekämpningsmedel och industriell förorening i allmänhet.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 13883 AND
t12.lemma_id = 4893 AND
t21.lemma_id = 13883 AND
t22.lemma_id = 53950),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;